Evaluating multimodal emotion recognition in proactive conversational agents: A user study

In three linesEmpirical study (20 users) of a multimodal conversational agent with emotion recognition. Computer vision and linguistic analysis integrated. Key finding: text analysis outperforms facial recognition (poker face effect). Miscalibrated proactivity reduces user engagement.

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